Thread by @prannesh_54

Data Science - The most hyped domain of 21st century. With my last @Clubhouse discussion is where I understood people should know more about what DS is. So to my knowledge, I felt to share a thread on what all roles can be found in this field as DS is not about just analysis!!

Data Engineer - Main responsibility is to manage the Data Architecture and develop algorithms based yo make the featured raw data more in a usable manner especially for Enterprise field. (1/9)

Data Scientist - The Myth everyone thinks when the word Data Science is used. Scraping and fetching meaningful information from the data and outcast in an insightful manner. (2/9)

Data Analyst - Field where you should know the knowledge on Different Data viz tools like Tableau, Excel, Fusion charts and so on.. This is the field where you analyse the data using tools to fetch out insightful information on where you are standing among the organisation. (3/9)

Business Analyst - Technically test the solution which is available in the market and advice the organisation in the business standardized manner pushing them to cost efficiency methods. Sometimes they do assist Developer in the Business standards. (4/9)

Business Intelligence Specialist - The domain where you need to know about the analysing tools like Microsoft Power BI, Qlik-sense, Zoho Analytics and so on. They talk part in Business meetings with a broad views on how a particular change can benefit the organisation. (5/9)

Machine Learning Engineer - This domain is where people invest much in developing somee predictive algorithms so it can be used by DE and others in near future. It involves a lot of coding and a very good exposure. (6/9)

Solution Architect - One of the underrated and high-paid job but a minimum of 5+ experience is needed. This is where you are made to give a quick solution within a short span of time in a business standards. This solution only will be used by other members in organisation. (7/9)

Big Data Specialist - This role is a follow-up where the designed idea by Solution Architect, Data Scientist and Business Analyst are tested and confirmed whether it's feasible to the market. One of the very few roles which involves a lot of Data Involvement. (8/9)

Data Scraper - You can witness this role just by witnessing the role name. Data Scraper is about fetching the data from websites and sharing it either to open-source community or to the organisation. This requires a Python knowledge and a very good listening skills. (9/9)

If you are until this thread, thanks for reading. I have shared my knowledge on what Data Science is in reality and how exciting it is all about. It is not just about analysis and there is a lot more groundwork with it. Don't fall for the myth which is out in the market :)

Got this thread motivation from my Twitter and Clubhouse community so I thank them for this officially :))
Adding hashtags here so it might reach a greater audience and help few people.
#DataScience #DataVisualization #BigData #machinelearning